Web: http://arxiv.org/abs/2205.10726

Sept. 15, 2022, 1:14 a.m. | Ruofan Hu, Dongyu Zhang, Dandan Tao, Thomas Hartvigsen, Hao Feng, Elke Rundensteiner

cs.CL updates on arXiv.org arxiv.org

Foodborne illness is a serious but preventable public health problem -- with
delays in detecting the associated outbreaks resulting in productivity loss,
expensive recalls, public safety hazards, and even loss of life. While social
media is a promising source for identifying unreported foodborne illnesses,
there is a dearth of labeled datasets for developing effective outbreak
detection models. To accelerate the development of machine learning-based
models for foodborne outbreak detection, we thus present TWEET-FID
(TWEET-Foodborne Illness Detection), the first publicly available …

arxiv dataset detection tweet

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